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Computer Vision Engineer
- glasgow, scotland, G1 1DU, United Kingdom
- Remote
- Full time
- £78,000 - £78,000 Per Annum
Job Description
About the Role
Our client is at the cutting edge of computer vision technology and is seeking a talented Computer Vision Engineer to join their innovative team on a remote basis. You will be instrumental in developing and implementing advanced algorithms for image and video analysis, object detection, recognition, and tracking. This role offers an exciting opportunity to contribute to impactful projects across various industries, from autonomous systems to advanced imaging. You'll work within a dynamic, forward-thinking environment that encourages creativity and continuous learning, allowing you to apply your expertise to solve complex visual challenges and drive technological advancements.
Key Responsibilities
- Design, develop, and optimize computer vision algorithms for real-time applications.
- Implement and test models for object detection, image segmentation, tracking, and 3D reconstruction.
- Work with large datasets of images and videos, ensuring data quality and integrity.
- Collaborate with software engineers to integrate computer vision modules into larger systems.
- Stay current with the latest research and developments in the field of computer vision and machine learning.
Requirements
- Master's degree or PhD in Computer Science, Electrical Engineering, or a related field with a focus on Computer Vision.
- 3+ years of experience in developing computer vision algorithms and systems.
- Proficiency in C++ and Python, and experience with libraries like OpenCV, TensorFlow, or PyTorch.
- Strong understanding of image processing techniques, feature extraction, and machine learning for vision.
- Experience with camera calibration, 3D vision, or deep learning for vision tasks is a plus.
Benefits
- Competitive salary and performance-based incentives.
- Fully remote work arrangement with flexible working hours.
- Comprehensive health, dental, and vision insurance plans.
- Generous allowance for professional development and training.
- Opportunity to work on challenging and innovative computer vision projects.